Mineral

ML Architect

Blumenau, State of Santa Catarina, Brazil

Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, AI & Machine Learning, Data EngineeringIndustries

ML Architect

Position Overview

We are seeking an experienced ML Architect to collaborate with Data Scientists, AI/ML community across BUs, Data Engineering, SMEs, and technical leads. The goal is to evangelize and translate business problems into scalable ML solutions across the client.

Key Responsibilities include:

  • Define model serving strategies (batch, real-time, streaming inference).
  • Design and implement ML Experimentation Platform, HPO, standardization of ML pipelines, and ML Metadata Storage.
  • Develop and maintain the feature repository, model governance, and compliance.
  • Build and own the ML Portfolio based on BU needs.
  • Support ML Infrastructure as an administrator on Databricks, Snowflake, and Sagemaker.
  • Own and publish best practices.

Job Type: Not specified Location Type: Remote

Requirements

  • 5-7 years of experience in ML System Architecture & Design.
  • Experienced with Databricks, Snowflake, SageMaker.
  • Experience with Performance Optimization and Model Monitoring setup.

Responsibilities

  • Define model serving strategies (batch, real-time, streaming inference).
  • Design and implement ML Experimentation Platform, HPO, standardization of ML pipelines, and ML Metadata Storage.
  • Develop and maintain the feature repository, model governance, and compliance.
  • Build and own the ML Portfolio based on BU needs.
  • Support ML Infrastructure as an administrator on Databricks, Snowflake, and Sagemaker.
  • Own and publish best practices.

Benefits

  • Flexible working hours.
  • Mindera Annual Trip, Sports, and sharing groups to connect and have fun!
  • Training & conferences, create your own training plan.
  • Choose Laptop & Peripherals that best suit your needs.
  • Work with a great team in a politics-free environment where the whole team owns the project together.
  • Culture reflects a lean and self-organization attitude.
  • Encouragement to take risks, make decisions, work collaboratively, and enhance communication.
  • Freedom and Responsibility go hand in hand.
  • Value commitment, feedback, and empathy.

Company Information

About Mindera

At Mindera, we use technology to build products we are proud of, with people we love. Software Engineering Applications, including Web and Mobile, are at the core of what we do. We partner with our clients to understand their products and deliver high-performance, resilient, and scalable software systems that create an impact on their users and businesses across the world. You get to work with a bunch of great people, where the whole team owns the project together. Our culture reflects our lean and self-management attitude. We encourage our colleagues to take risks, make decisions, work in a collaborative way and talk to everyone to enhance communication. We are proud of our work and love to learn all and everything while navigating through an Agile, Lean, and collaborative environment.

Check out our Blog and our Handbook!

Offices

  • Porto, Portugal
  • Aveiro, Portugal
  • Coimbra, Portugal
  • Leicester, UK
  • San Diego, USA
  • San Francisco, USA
  • Chennai, India
  • Bengaluru, India
  • Cluj-Napoca, Romania
  • Blumenau, Brazil

Additional Details

  • Employment Type: Remote
  • Workplace: Remote
  • Language: en
  • Department: Engineering
  • Published: 2025-04-28
  • Remote: Yes

Skills

ML System Architecture
ML Pipelines
Model Governance
Model Monitoring
Databricks
Snowflake
SageMaker
HPO
ML Metadata Storage
Feature Repository
Performance Optimization

Mineral

Develops AI tools for sustainable agriculture

About Mineral

Mineral.ai develops technology solutions aimed at improving the agriculture industry. The company utilizes perception technology, artificial intelligence (AI), and machine learning (ML) to create tools that help farmers, researchers, and agricultural advisors increase crop yields, manage pests, and adapt to climate change. Their products include precision agriculture tools that optimize resource use and advanced data analytics platforms that provide insights from agricultural data. Unlike many competitors, Mineral.ai focuses on creating partnerships within the agriculture sector to co-develop solutions, enhancing their product offerings. The goal of Mineral.ai is to support sustainable food production and help feed the world more efficiently.

Mountain View, CaliforniaHeadquarters
N/AYear Founded
VENTURE_UNKNOWNCompany Stage
Food & Agriculture, AI & Machine LearningIndustries
51-200Employees

Risks

Transition from Alphabet may lead to financial instability and resource loss.
Licensing model could reduce control over technology application and revenue stability.
Difficulty in monetizing technology indicates challenges in creating durable revenue streams.

Differentiation

Mineral.ai uses AI and ML to revolutionize agriculture with precision tools.
The company partners with industry leaders like Driscoll's for real-world technology applications.
Mineral.ai's licensing model allows broad integration into existing agribusiness systems.

Upsides

Licensing model increases market reach and technology integration in agribusiness.
Partnerships with companies like Driscoll's enhance technology application and sustainability goals.
Growing interest in agrivoltaic systems offers new partnership opportunities for Mineral.ai.

Land your dream remote job 3x faster with AI